Summary of WERN warehouse findings
2023-06-19
To get us started, I have provided some summary statistics and data visualizations with the WERN data. I have divided this analysis into three sections. The first provides a snapshot of the warehouse workforce, the second details responses to our warehouse-specific questions, and the third compares warehouse workers to workers in other industries.
There are a few things to keep in mind:
- I have not included all variables but only ones that seemed most pertinent
- Some variables that were not included or that don’t appear intriguing at first blush may become interesting in multivariate analyses
- To get correct estimates, we have to use survey weights, which I have done; however, I need to verify that I have made the right choices, and, if I have not, these results could change
- I have generally dropped respondents who put down “Don’t know”–I am no sure if this is an appropriate choice
Next steps:
- Determine which bi - or multi-variate analysis to conduct
- Consider some sort of factor analysis
Worker profile
In this section, we get a glimpse of who works inside warehouses.
Demographics
Gender
Race
Age
Geographic distribution
The following shows where survey respondents are located.